Research Article
Research on the Influence of Perceived Algorithmic Control on Gig Workers Well-being
@INPROCEEDINGS{10.4108/eai.15-3-2024.2346524, author={Biaobin Yan and Xindan Zhang and Menghua Liu}, title={Research on the Influence of Perceived Algorithmic Control on Gig Workers Well-being}, proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China}, publisher={EAI}, proceedings_a={PMIS}, year={2024}, month={6}, keywords={perceived algorithmic control work engagement employee well-being job demands-resources model}, doi={10.4108/eai.15-3-2024.2346524} }- Biaobin Yan
Xindan Zhang
Menghua Liu
Year: 2024
Research on the Influence of Perceived Algorithmic Control on Gig Workers Well-being
PMIS
EAI
DOI: 10.4108/eai.15-3-2024.2346524
Abstract
Advocating the humanized management of the platform, improving the satisfaction and well-being of gig works, and increasing their stability and platform stickiness are key issues for the healthy development of the gig economy. Based on the Job Demands-Resources Model, this paper discusses how perceived algorithmic control affects gig workers well-being. We found that, perceived algorithmic control can stimulate the work engagement of gig workers, and then show higher well-being; Work engagement plays a mediating role between perceived algorithmic control and gig workers well-being; Gig worker’ work type (full-time/part-time) plays a moderating effect in the relationship between perceived algorithmic control and work engagement. The research conclusion provides suggestions for online labor platforms to improve the gig workers well-being